Investigating project sustainability: technology as a development object in a community-based project in Naryn, Kyrgyzstan
Bibliographic record
Abstract
The imperative of project sustainability has become explicit policy within development. This is especially true for technology transfer: ‘development objects’ are to be used by prospective beneficiaries long after the project’s closure. We argue that the link between project sustainability, technology and ‘success’ requires deeper scrutiny. We investigate a community-based project in Naryn, Kyrgyzstan, which included the transfer of smartphones, weather stations and camera traps. Upon the project’s closure, we compare the stakeholders’ viewpoints regarding the future use of the equipment, showing how technological objects attract new actors into the project’s network, change its course and enhance its impact. We use actor-network theory to explain how development objects shape development processes by generating own networks and transforming social relations of power. We propose a dynamic view of sustainability as: (i) continuation of delivery of project’s goods and services, (ii) durability of the achieved changes and (iii) feasibility of independent growth..
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".